K. G. Srinivasa

G. M. Siddesh, K. G. Srinivasa: GRFM: an efficient grid-based replication and fault tolerant middleware. IJCSE 8(2): 133-147 (2013)

K. G. Srinivasa, Harish RaddiC. S., Mohan KrishnaS. H., Nidhi Venkatesh: MeghaOS: A Framework for Scalable, Interoperable Cloud Based Operating System. IJCAC 2(1): 53-70 (2012)

K. G. Srinivasa, N. Pramod, K. R. Venugopal, Lalit M. Patnaik: Effects of Information Filters: A Phenomenon on the Web. IJIRR 2(2): 1-12 (2012)

K. G. Srinivasa, N. Pramod: gNIDS: rule-based network intrusion detection system using genetic algorithms. IJISTA 11(3/4): 252-266 (2012)

Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth: General Methodology for developing UML models from UI. CoRR abs/1201.2031 (2012)

Ch. Ram Mohan Reddy, D. Evangelin Geetha, K. G. Srinivasa, T. V. Suresh Kumar, K. Rajani Kanth: Early Performance Prediction of Web Services. CoRR abs/1201.2034 (2012)

G. M. Siddesh, K. G. Srinivasa: An Adaptive Scheduler Framework for Complex Workflow Jobs on Grid Systems. HPCC 2011: 544-549

G. M. Siddesh, K. G. Srinivasa, K. R. Venugopal: GRM: a reliable and fault tolerant data replication middleware for grid environment. ICWET 2011: 810-815

Jagadish S. Kallimani, K. G. Srinivasa, Eswara Reddy B: Information extraction by an abstractive text summarization for an Indian regional language. NLPKE 2011: 319-322

K. G. Srinivasa, G. M. Siddesh, Sijo Cherian: Fault-Tolerant Middleware for Grid Computing. HPCC 2010: 635-640

Vinu V. Das, R. Vijayakumar, K. G. Srinivasa, Hatim A. Aboalsamh, Mohammad Hammoudeh, Vahid Salmani, Dinesh Kumar Tyagi, Anjali Mohapatra, Bharatheesh Jaysimha, Eliathamby Ambikairajah, Jonathan M. Blackledge (Eds.): Information and Communication Technologies - International Conference, ICT 2010, Kochi, Kerala, India, September 7-9, 2010. Proceedings. Communications in Computer and Information Science 101, Springer 2010, isbn 978-3-642-15765-3

K. R. Venugopal, K. G. Srinivasa, Lalit M. Patnaik: Soft Computing for Data Mining Applications. Studies in Computational Intelligence 190, Springer 2009, isbn 978-3-642-00192-5, pp. 1-341

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: Soft Computing for XML Data Mining. Encyclopedia of Data Warehousing and Mining 2009: 1806-1809

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: A soft computing approach for data mining based query processing using rough sets and genetic algorithms. Int. J. Hybrid Intell. Syst. 5(1): 1-17 (2008)

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines. Intell. Data Anal. 11(5): 481-496 (2007)

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: A self-adaptive migration model genetic algorithm for data mining applications. Inf. Sci. 177(20): 4295-4313 (2007)

K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik: Data Mining based Query Processing using Rough Sets and Genetic Algorithms. CIDM 2007: 275-282

K. G. Srinivasa, Anuj Bhatt, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik: Selective Querying and Other Proposals for a Less Congested Gnutella Network. ICDCIT 2007: 203-208

K. G. Srinivasa, Sagnik Dhar, K. R. Venugopal, Lalit M. Patnaik: Statistical Analysis and Compression of DNA using Weighted Probability Approach and Modified Run-Length Encoding. IICAI 2007: 1058-1070

K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik: A neural network based CBIR system using STI features and relevance feedback. Intell. Data Anal. 10(2): 121-137 (2006)

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: An efficient fuzzy based neuro - genetic algorithm for stock market prediction. Int. J. Hybrid Intell. Syst. 3(2): 63-81 (2006)

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik: Indexing XML Documents Using Self Adaptive Genetic Algorithms for Better Retreival. APWeb 2006: 640-651

K. G. Srinivasa, M. Jagadish, K. R. Venugopal, Lalit M. Patnaik: Non-repetitive DNA Sequence Compression Using Memoization. ISBMDA 2006: 402-412

P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: Dynamic Association Rule Mining using Genetic Algorithms. Intell. Data Anal. 9(5): 439-453 (2005)

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik: Sagaxsearch: an Xml Information Retrieval Mechanism Using Self Adaptive Genetic Algorithms. International Journal of Computational Intelligence and Applications 5(4): 471-493 (2005)

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik: GaXsearch: An XML Information Retrieval Mechanism Using Genetic Algorithms. Australian Conference on Artificial Intelligence 2005: 435-444

K. G. Srinivasa, S. Sharath, K. R. Venugopal, Lalit M. Patnaik: Selective Dissemination of XML Documents Using GAs and SVM. CIS (1) 2005: 562-567

K. G. Srinivasa, Karthik Sridharan, P. Deepa Shenoy, K. R. Venugopal, Lalit M. Patnaik: A Dynamic Migration Model for Self-adaptive Genetic Algorithms. IDEAL 2005: 555-562

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: An Efficient Fuzzy based Neuro - Genetic Algorithm for Stock Market Prediction. IICAI 2005: 2256-2274

K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: A Self-Adaptive Migration Model Genetic Algorithms for Data Mining Applications. IICAI 2005: 3303-3322

P. Deepa Shenoy, K. G. Srinivasa, Achint Oommen Thomas, K. R. Venugopal, Lalit M. Patnaik: Mining Top - k Ranked Webpages Using Simulated Annealing and Genetic Algorithms. AACC 2004: 137-144

P. Deepa Shenoy, K. G. Srinivasa, M. P. Mithun, K. R. Venugopal, Lalit M. Patnaik: Dynamic Subspace Clustering for Very Large High-Dimensional Databases. IDEAL 2003: 850-854

P. Deepa Shenoy, K. G. Srinivasa, K. R. Venugopal, Lalit M. Patnaik: Evolutionary Approach for Mining Association Rules on Dynamic Databases. PAKDD 2003: 325-336